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Service-oriented Information Modelling and Analytics of Sensor Data for Designing Smart Thermal Desorption Products

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  • Full or part time
    Dr Y Liu
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

Project Description

Thermal desorption equipment is used in a variety of areas, such as environmental monitoring and security, where high availability is either essential or highly desirable – requiring relatively shorter lead time for consumables, wear and tear parts, and spares. The growth of Industry 4.0 technologies (including cyber-physical systems, the Internet of things, cloud computing and cognitive computing) allows the possibility of real-time monitoring systems that enable the instrumentation to become more intelligent – knowing exactly what’s happening in the equipment, interacting with the surroundings including other devices and humans if needed, and finally integrated within a broad “digital value chain”. Such embedded smart abilities will make the next generation products not just responsive to customer requirements - staying one step ahead so to inform new product development - but also resilient in coping with the uncertainty imposed by different applications.

In this proposed PhD study, research objectives focus primarily on three aspects. In the first place, it requires a service-oriented approach to understand the digital environment of future thermal desorption equipment so that data/information modelling for smart products can be carried out. Secondly, advanced data analytics concerning the identification of key product components and modelling of their failure mechanisms need to be researched so that corresponding machine learning-based algorithms can be developed. Lastly, research and design of a suitable IoT platform will be conducted so that the developed intelligent algorithms can be embedded and further optimized in IoT for the operational efficiency and sustainable performance.

Candidates should hold or expect to gain a first class degree or a good 2:1 (or their equivalent) in a relevant subject area.

Applicants whose first language is not English will be required to demonstrate proficiency in the English language (IELTS 6.5 or equivalent)


Funding Notes

This studentship is open to Home or EU candidates. Overseas candidates may apply but must confirm that they are able pay the difference between home and overseas fees (approx. £14K pa) themselves. The studentship covers tuition fees (home/EU rate) and an annual stipend equivalent to current Research Council rates (currently £14,777 academic year 2018/19)

References

Applicants should submit an application for postgraduate study via the Cardiff University webpages (http://www.cardiff.ac.uk/study/postgraduate/research/programmes/programme/engineering ) including;
• an upload of your CV
• a personal statement/covering letter
• two references (applicants are recommended to have a third academic referee, if the two academic referees are within the same department/school)
• Current academic transcripts
Applicants should select Doctor of Philosophy (Engineering), with a start date of July or October 2019.

In the research proposal section of your application, please specify the project title and supervisors of this project and copy the project description in the text box provided. In the funding section, please select "I will be applying for a scholarship / grant" and specify that you are applying for advertised funding, reference YL-PSE-2019.



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